On the Interaction with Large Language Models for Web Accessibility: Implications and Challenges

被引:2
|
作者
Delnevo, Giovanni [1 ]
Andruccioli, Manuel [1 ]
Mirri, Silvia [1 ]
机构
[1] Univ Bologna, Dept Comp Sci & Engn, Bologna, Italy
来源
2024 IEEE 21ST CONSUMER COMMUNICATIONS & NETWORKING CONFERENCE, CCNC | 2024年
关键词
Web Accessibility; Large Language Models; Human-Computer Interaction; ChatGPT;
D O I
10.1109/CCNC51664.2024.10454680
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The widespread diffusion of Large Language Models (LLMs) has ushered in a transformative era across numerous research domains, including web accessibility. In fact, they can potentially offer automated solutions for generating accessible content, performing accessibility testing, and enhancing the overall user experience for individuals with disabilities. In this paper, we investigate how LLMs can be successfully employed to evaluate and correct web accessibility. Then, we delve into the positive implications and the current challenges derived from the interaction between developers and LLMs in this specific context. Finally, we present some future directions that could be explored to ensure that web content remains accessible to all.
引用
收藏
页数:6
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